Machine Learning Engineer (Biotechnology)
Posted 3 days 4 hours ago by IO Associates
Location: Bristol, UK
Industry: BioPharma
Salary: Competitive + Benefits
We are working with an innovative and rapidly growing biotechnology company that is transforming drug development through the power of AI. Our client is at the forefront of revolutionising healthcare, and we are looking for a talented Machine Learning Engineer to join their dynamic team.
This is a fantastic opportunity for someone with a strong background in machine learning and a passion for applying it to biotechnology and drug discovery. If you have experience in Python, Scikit-learn, and working with machine learning models such as GLM and LLM, we'd love to hear from you!
Key Responsibilities:
- Develop and optimise machine learning models to enhance drug discovery processes.
- Work closely with interdisciplinary teams to apply AI techniques in biotechnology.
- Implement and improve machine learning algorithms using tools like Scikit-learn and Python.
- Analyse large biological datasets and provide insights to drive drug development.
- Contribute to the development and maintenance of code using GIT for version control.
Ideal Candidate:
- Strong experience as a Machine Learning Engineer, with proficiency in Python and Scikit-learn.
- Familiarity with Generalised Linear Models (GLM) and Large Language Models (LLM).
- Experience in biotechnology, biopharmaceuticals, or a related field is a plus.
- A passion for leveraging AI to drive innovation in drug discovery and healthcare.
- Experience using GIT for version control in a collaborative environment.
- Ability to thrive in a fast-paced and evolving startup environment.
Why Join Our Client:
- Work on cutting-edge AI-driven drug development projects.
- Collaborate with a talented team in a fast-growing company.
- Opportunities for professional growth and career advancement.
- Competitive salary and comprehensive benefits package.
If you're excited about applying machine learning in the field of biotechnology and drug discovery, we want to hear from you!
Apply now via the link below!
Look forward to speaking with you!
David Crowley